This paper addresses this gap by examining the nature of disruption to farm advisors from data-driven smart farming and identifies the challenges and opportunities. The authors aim to better theorize smart farming innovation by examining the advisory role to provide insights for technology developers, and policy directions for governments in relation to supporting uptake of farming innovations. To achieve this aim they ask: how are farmers and advisors interacting with data-driven smart farming, and what are the implications for farm advisor capability and roles in a future where farmers use more data-driven smart farming? In this paper, is proposed propose a conceptual framework before analyzing the experiences of farmers and advisors in the context of three data-driven smart farming case studies in Australia and NZ. In the discussion, we reflect on potential changes in advisory services needed to enable farmers to capture greater value from the use of data-driven smart farming
Digital agriculture is likely to transform productive processes both on- and off- farm, as well as the broader social and institutional context using digital technologies. It is largely unknown how agricultural knowledge providing organisations, such as advisors and science organisations,...
In this paper is presented insights from a co-design process with private farm advisers and ask: What enables farm advisers to engage with digital innovation? And, how can digital innovation be supported and practiced in smart farming contexts? Digital innovation presents...
This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of...
This presentation argues the need of green growth in agriculture, analyzes features of the innovation systems and ends with some policies practices. The presentation has been prepared for "Innovation and Modernising the Rural Economy", OECD’s 8th Rural Development Policy Conference, 3-5 October 2012 (Krasnoyarsk, Russian...
Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper, we reviewed crowdsourcing initiatives in agricultural science and farming activities and further discussed the...